A technique for representing and diagnosing dynamic process trend data using neural networks is presented. The approach employs a feedforward neural network with backpropagation as the learning algorithm. Two methods of presenting symptom patterns to the network, one using raw time-series values of
โฆ LIBER โฆ
Rectification of data in a dynamic process using artificial neural networks
โ Scribed by David M. Himmelblau; Thomas W. Karjala
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 653 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0098-1354
No coin nor oath required. For personal study only.
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